University of Copenhagen

University of Copenhagen (UCPH) 🇩🇰

The University of Copenhagen is the oldest university and research institution in Denmark. Founded in 1479, it is the second oldest institution for higher education in Scandinavia. The university has 23,473 undergraduate students, 17,398 postgraduate students, 2,968 doctoral students and over 9,000 employees. The university is a member of the International Alliance of Research Universities (IARU), the 2016 Academic Ranking of World Universities ranks the University of Copenhagen as the best university in Scandinavia and 30th in the world and the 2016-2017 QS World University Rankings as 68th in the world. The university has had 8 alumni become Nobel laureates and has produced one Turing Award recipient.

Supervisor of Fabiana Di Gianvincenzo

Co-supervisor of Francesca Galluzzi

Network Coordinator

Enrico is Associate Professor in Ancient Proteins and co-leads the “Paleoproteomics” research group at UCPH. He published the first ancient proteome. He then applied this approach to achieve the first high-resolution reconstruction of an ancient oral microbiome and metaproteome. As a demonstration of his prominent role in paleoproteomics investigation he was invited to submit a “Perspective” piece by the multidisciplinary scientific magazine Science. Under Enrico's supervision, Fabiana Di Gianvincenzo will design new protocols to better reconstruct which protein paint binders were used to paint statues and architectural decorative elements. Fabiana Di Gianvincenzo's project ultimately aims at more accurately reconstructing the original appearance of ancient painted objects.

ORCID ID, ResearcherID

Supervisor of Patrick Rüther and Diana Samodova

Jesper's work is focused on developing and applying high-performance mass spectrometry (MS)-based proteomics to unsolved questions in biology. His expertise covers all parts of the proteomics pipeline including advanced sample preparation, high-resolution tandem mass spectrometry and computational proteomics approaches. His team has developed technologies for detection of protein-protein interactions and protein post-translational modifications (PTMs). He is also co-developing next-generation MS instrumentation with leading vendors. In recent years JVO have been involved in developing and applying mass spectrometry to analyze ancient proteomes from a variety of sample types including archaeological dental calculus and fossilised bones.